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Found 6327 publications

Overall Equipment Effectiveness-Related Assembly Pattern Catalogue based on Machine Learning

Publication Name: Manufacturing Technology

Publication Date: 2023-06-01

Volume: 23

Issue: 3

Page Range: 276-283

Description:

Nowadays, a lot of data is generated in production and also in the domain of assembly, from which different patterns can be extracted using machine learning methods with the support of data mining. With the help of the revealed patterns, the assembly operations and processes can be further optimized, thus the profit achieved can be increased. This article attempts to explore the patterns related to the most used Key Performance Indicator (KPI) in manufacturing, the Overall Equipment Effectiveness (OEE) metric. The patterns and relationships discovered will be sorted into Assembly Pattern Catalogue (APC). Firstly, a literature review demonstrates scientific relevance. Secondly, it examines the circumstances and methods of samples in the Manufacturing Execution System (MES) data source and Enterprise Resource Planning (ERP) systems. In the third section, the detailed pattern catalogue is defined in the area of assembly. The novelty of the article is that beyond the generalization of patterns, it characterizes the pattern catalogue with mentioning practical industrial examples.

Open Access: Yes

DOI: 10.21062/mft.2023.036

Evaluation of water requirements of cattle

Publication Name: Magyar Allatorvosok Lapja

Publication Date: 2023-06-01

Volume: 145

Issue: 6

Page Range: 323-343

Description:

Due to the proven existence of climatic changes, a review on water needs of cattle is doubtlessly important. People increasingly like to be aware of the water footprint of different products. In this study, authors briefly surveyed the role of drinking water as a nutrient of cattle. Based on several international results, factors affecting water consumption of cattle–especially air and water temperatute–were presented. Water quality aspects, including calculation method of water quality index, were also discussed. Estimation (regression exuations) and instrumental measurement possibilities (digital systems) for water consumption of cattle were also presented, as well as several purification methods. As it was concluded, water is inevitably important in health status, welfare and thus, production of cattle. Professional literatures provide several data on the nutritional value of water. However, further comprehensive investigation would be worth to be carried out to collect exact information on water losses of cattle under different conditions. Effect of air and water temperature on water intake is well documented internationally, domestic research under Hungarian climate conditions could be helpful to breeders, as well as the development of a national water quality index. Digitalization can be a great support in collecting accurate data on feed and water intake of cattle under different conditions. Since clear water is not present in an unlimited amount, application and development of different purifying methods and technologies is of great importance, as well as inventing new possibilities for it.

Open Access: Yes

DOI: 10.56385/magyallorv.2023.06.323-343

Systematic review on blockchain research for sustainability accounting applying methodology coding and text mining

Publication Name: Cleaner Engineering and Technology

Publication Date: 2023-06-01

Volume: 14

Issue: Unknown

Page Range: Unknown

Description:

Blockchain and other Distributed Ledger Technologies (DLTs) are often considered major improvements in the capability of certain areas in sustainability accounting research. As such, it is argued that blockchains could be used for validation, data management, transactions settlements and objective measurement for corporate sustainability indicators, such as Greenhouse Gas (GHG) emissions during production processes. Following a Systematic Literature Review (SLR) methodology in data collection and database formation, the current work provides an analysis of the existing literature consisting of 59 contributions on blockchain applications in sustainability accounting. Several analysis steps containing bibliometric analyses were performed and presented, including novel coding of methodologies and industrial applications. Additionally, text mining analysis of the meta-data of contributions was conducted for the purpose of topic generation and retrieval of comparative insights. Results provide insights into the mapping of baseline technologies, regulatory environment, and practical factors outlined by previous contributions that influence the applications of blockchains for this cause. Future research areas include blockchains paired with other future-proof technologies, such as digital accounting tools (e.g. XBRL) or hardware IoT technologies in smart factories, to aid in the development of new pipelines of measurable and traceable sustainability information.

Open Access: Yes

DOI: 10.1016/j.clet.2023.100648

The Dynamic Properties of Sand under Torsion: A Literature Review

Publication Name: Geotechnics

Publication Date: 2023-06-01

Volume: 3

Issue: 2

Page Range: 480-514

Description:

Resonant column (RC) and the torsional simple shear (TOSS) tests have shown proven competency in acquiring precise and repeatable measurements regarding the shear modulus and damping ratio of soil. For most dynamic geotechnical problems, the shear modulus represents the stiffness of the soil, while the damping ratio describes energy dissipation. Many studies in the last few decades focused on developing the relevant equipment and investigating the effect of different soil properties on the dynamic behavior of soil. Researchers have introduced correlations to approximate this behavior without conducting dynamic torsional testing. Soil models (e.g., Ramberg-Osgood and Hardin-Drnevich) can simulate shear stress-strain curves after finding the curve-fitting parameters. Due to the complexity of dynamic behavior and its dependency on various factors in soils, the RO and HD equations help model the behavior more simply. This paper presents a literature review and evaluation of the studies, correlations, soil models, and parameters affecting the dynamic behavior of dry sand under torsion.

Open Access: Yes

DOI: 10.3390/geotechnics3020027

Towards the resilience quantification of (military) unmanned ground vehicles

Publication Name: Cleaner Engineering and Technology

Publication Date: 2023-06-01

Volume: 14

Issue: Unknown

Page Range: Unknown

Description:

In the case of Unmanned Ground Vehicles (UGVs), resilience can be an economical, an environmental, but most importantly, a mission-critical question as well: mission failure caused by the lack of resilience in some cases might imply the loss of the UGV, which could lead to human and financial losses and environmental damage. Thus, the aim of this article is to provide a methodology for UGV resilience analysis by introducing a generalizable method that can be applied both for complete UGV systems and subsystems, and leads to resilience quantification. After proposing a specific resilience definition for UGVs, this article proposes a method for UGV resilience assessment using process graphs, created based on the system components and the expected behavior of UGVs. To provide a context for the introduced solution, existing methods applied for UGV resilience assessment are briefly mentioned. The application of the proposed method is showcased on the perception subsystem of a UGV, finalized with the evaluation of the achieved results.

Open Access: Yes

DOI: 10.1016/j.clet.2023.100644

The reaction of the metal and gold resource planning in the post-COVID-19 era and Russia-Ukrainian conflict: Role of fossil fuel markets for portfolio hedging strategies

Publication Name: Resources Policy

Publication Date: 2023-06-01

Volume: 83

Issue: Unknown

Page Range: Unknown

Description:

The prime objective of this article is to examine the policy-making role of metal markets, gold resources, and clean energy markets in the post-COVID-19 era and the Russia-Ukrainian military conflict. In doing so, we analyze the role of fossil fuels, clean energy, and metals markets, considering the military conflict in Ukraine in 2022. The study employs event study methodology (ESM), Total connectedness index (TCI), and network analyses. The results indicate that natural gas and clean energy prices are less affected by conflict in the aftermath of an invasion than traditional energy and metals markets. In addition, we observe an increase in the TCI in the energy markets during announcement days. The TCI of the metals market is greater than that of the energy market. According to network connectivity, the key asset class transmitters of the shock in Europe are the Geopolitical index (GPR), gold, and the clean energy stock index (ERIX). The U.S. markets are less affected by the situation in Ukraine. The average hedge suggests that the optimal hedge differs from one market to the next, with fossil fuels and renewable energy, respectively, being more hedge effective and reducing risk by an average of around 0.80 and 0.59, given their ability to function as a hedging instrument.

Open Access: Yes

DOI: 10.1016/j.resourpol.2023.103654

Seismic Vulnerability Assessment of an Unanchored Circular Storage Tank Against Elephant’s Foot Buckling

Publication Name: Journal of Vibration Engineering and Technologies

Publication Date: 2023-06-01

Volume: 11

Issue: 4

Page Range: 1661-1678

Description:

Purpose: Seismic vulnerability assessment of liquid containing storage tanks is the most vital relevance for industrial plants and society safety to endure damage during impending earthquakes. Because such systems also play an essential role in the public lifeline and also ensure continued use in emergencies. Furthermore, considering that the material contained in individual plants could be hazardous, requisite precautions have paramount importance against undesired leakage. The high internal pressure and axial forces exerted by the liquid in the steel tanks near the tank wall bottom produce elastic–plastic buckling, also known as Elephant’s Foot Buckling (EFB). As far as the authors are aware, no study has been carried out that involves a critical assessment and comparison of IDA and truncated IDA-based EFB failure criterion. This study provides insight into incremental dynamic analysis (IDA) and truncated IDA-based seismic evaluation of cylindrical unanchored steel storage tanks by employing a developed pressure-based surrogate modeling approach. For this purpose, probability-based seismic assessment of a representative sample is considered based on IDA and truncated IDA approaches to identify the potential of the EFB failure and to explore potential enhancements in the sophisticated structural analysis model to prevent the hazardous effects of impending earthquakes. Methods: Due to the significance of industrial plants for public safety and benefit, the structural response evaluation methods for different types of storage tanks have been widely reported. In the literature, the most comprehensive analytical assessment methodology is the IDA approach, in which nonlinear time-history analyses are considered in the finite element analysis model to assess the structural model’s seismic performance. Results: To generate fragility curves, both IDA approaches are employed, taking into consideration and ignoring uncertainty of material properties. The values of the two methods-based fragility curves approach each other as the magnitude of dispersion increases. Conclusion: The two fragility curves give the probability of failures close to each other as the dispersion amount increases while considering the uncertainty of the material properties. In addition, fragility curves generated based on the truncated IDA have been found to give a higher probability of failure, up to 32.5 percent. When compared to the IDA-based fragility curves, the truncated IDA-based fragility curves were found to be on the conservative side.

Open Access: Yes

DOI: 10.1007/s42417-022-00663-0

Effect of Surface Modifications on Surface Roughness of Ti6Al4V Alloy Manufactured by 3D Printing, Casting, and Wrought

Publication Name: Materials

Publication Date: 2023-06-01

Volume: 16

Issue: 11

Page Range: Unknown

Description:

This work aimed to comprehensively evaluate the influence of different surface modifications on the surface roughness of Ti6Al4V alloys produced by selective laser melting (SLM), casting and wrought. The Ti6Al4V surface was treated using blasting with Al2O3 (70–100 µm) and ZrO2 (50–130 µm) particles, acid etching with 0.017 mol/dm3 hydrofluoric acids (HF) for 120 s, and a combination of blasting and acid etching (SLA). It was found that the optimization of the surface roughness of Ti6Al4V parts produced by SLM differs significantly from those produced by casting or wrought processes. Experimental results showed that Ti6Al4V alloys produced by SLM and blasting with Al2O3 followed by HF etching had a higher surface roughness (Ra = 2.043 µm, Rz = 11.742 µm), whereas cast and wrought Ti6Al4V components had surface roughness values of (Ra = 1.466, Rz = 9.428 m) and (Ra = 0.940, Rz = 7.963 m), respectively. For Ti6Al4V parts blasted with ZrO2 and then etched by HF, the wrought Ti6Al4V parts exhibited higher surface roughness (Ra = 1.631 µm, Rz = 10.953 µm) than the SLM Ti6Al4V parts (Ra = 1.336 µm, Rz = 10.353 µm) and the cast Ti6Al4V parts (Ra = 1.075 µm, Rz = 8.904 µm).

Open Access: Yes

DOI: 10.3390/ma16113989